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Christopher J. Quinn

Researcher at Purdue University

Publications -  75
Citations -  3276

Christopher J. Quinn is an academic researcher from Purdue University. The author has contributed to research in topics: Graphical model & Computer science. The author has an hindex of 26, co-authored 71 publications receiving 3062 citations. Previous affiliations of Christopher J. Quinn include University of Illinois at Urbana–Champaign & Royal Botanic Gardens.

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Estimating the directed information to infer causal relationships in ensemble neural spike train recordings

TL;DR: This paper motivates the directed information, an information and control theoretic concept, as a modality-independent embodiment of Granger’s original notion of causality, which is shown to be able to differentiate between true direct causal influences, common inputs, and cascade effects in more two processes.
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Sapindales: molecular delimitation and infraordinal groups.

TL;DR: A robust clade of core "sapindalean" taxa is identified that is sister to representatives of Malvales and there was no support for the recognition of the two more narrowly defined orders, Rutales and Sapindales sensu stricto.
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Phylogenetic Relationships among the Genera of Taxodiaceae and Cupressaceae: Evidence from rbcL Sequences

TL;DR: Phylogenetic analyses produced four most parsimonious trees that differ only in the positions of three genera and the degree of resolution of a trichotomy within Cupressaceae s.l. str.
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Directed Information Graphs

TL;DR: In this article, the authors propose a graphical model for representing networks of stochastic processes, the minimal generative model graph, which is based on reduced factorizations of the joint distribution over time.